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Accelerate data preparation for ML in Amazon SageMaker Canvas

AWS Machine Learning Blog

You can import data directly through over 50 data connectors such as Amazon Simple Storage Service (Amazon S3), Amazon Athena , Amazon Redshift , Snowflake, and Salesforce. In this walkthrough, we will cover importing your data directly from Snowflake. You can download the dataset loans-part-1.csv csv and loans-part-2.csv.

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Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. Secure data exchange takes on much greater importance.

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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. Other analyses are also available to help you visualize and understand your data.

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5 Data Governance Best Practices

Precisely

The Need for Data Governance The number of connected devices has expanded rapidly in recent years, as mobile phones, telematics devices, IoT sensors, and more have gained widespread adoption. At the same time, big data analytics has come of age. As a result, it is changing how we need to manage and govern our data.

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Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

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We also detail the steps that data scientists can take to configure the data flow, analyze the data quality, and add data transformations. Finally, we show how to export the data flow and train a model using SageMaker Autopilot. Data Wrangler creates the report from the sampled data.

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What is a Hadoop Cluster?

Pickl AI

It utilises the Hadoop Distributed File System (HDFS) and MapReduce for efficient data management, enabling organisations to perform big data analytics and gain valuable insights from their data. Download and extract the Apache Hadoop distribution on all nodes.

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